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510(k) Data Aggregation
(165 days)
Helioseal F Plus
Helioseal F Plus is used to seal fissures, pits and foramina caeca.
Helioseal® F Plus is a light-curing, white shaded fissure sealant featuring fluoride release. Helioseal F Plus is supplied in either a syringe or cavifil delivery form. The fissure sealant is composed of dimethacrylates. In the handling technique, the dental professional will clean the enamel surface to be sealed, isolate the working field, conditioning is performed, a thorough rinse and dry to remove the conditioner, before the application of Helioseal F Plus to the tooth surface.
This document is a 510(k) premarket notification for a dental device, specifically a pit and fissure sealant. It demonstrates substantial equivalence to a predicate device, rather than providing a performance study proving a device meets specific acceptance criteria as would be typical for an AI/ML medical device.
Therefore, the requested information regarding acceptance criteria, study design for AI/ML performance, sample sizes, expert involvement, ground truth establishment, and MRMC studies is not applicable to this document.
The document primarily focuses on demonstrating equivalence through:
- Comparison to Predicate Device: Detailed comparison of indications for use, contraindications, technology, principles of operation, and physical properties between Helioseal F Plus (subject device) and Helioseal F (predicate device).
- Bench Testing: Non-clinical performance testing for physical properties (flexural strength, curing depth, light intensity, wavelength for curing, water sorption, water solubility, radio-opacity) in accordance with FDA Guidance and EN ISO 6874:2015.
- Biocompatibility Testing: Evaluation for cytotoxicity and genotoxicity according to ISO 10993-1, ISO 7405, and ISO 14971.
The conclusion states that the devices are substantially equivalent, implying that the new device performs similarly to the already legally marketed predicate device. There are no acceptance criteria, in the sense of accuracy/recall/precision metrics for an AI/ML algorithm, or a human reader study, included in this type of submission.
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